Summer School: Data Science – An Overview

This summer school will introduce students to this rapidly growing field and equip them with some of its basic principles and tools as well as its general mindset. Students will learn concepts, techniques and tools they need to deal with various facets of data science practice, including data collection and integration, exploratory data analysis, predictive modeling, descriptive modeling, data product creation, evaluation, and effective communication.

Registration dates 01 February 2023 02 April 2023
Course dates 02 May 2023 14 July 2023
Registration is open
Registration
Summer School: Data Science – An Overview

Course content

  • Introduction: What is Data Science?
  • Statistical Inference
  • Exploratory Analysis and the Data Science Process
  • Three Basic Machine Learning Algorithms
  • One More Machine Learning Algorithm and Usage in Applications
  • Feature Generation and Feature Selection (Extracting Meaning From Data)
  • Recommendation Systems: Building a User-Facing Data Product
  • Mining Social-Network Graphs
  • Data Science and Ethical Issues

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